![[QA] Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs episode artwork](https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/38126503/38126503-1686696647986-c72655f5033ff.jpg)
EPISODE · Jul 11, 2025 · 8 MIN
[QA] Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs
from Arxiv Papers · host Igor Melnyk
Pretrained neural networks can adapt their architecture dynamically for different inputs, improving efficiency and performance by customizing layer usage without finetuning, as shown through Monte Carlo Tree Search optimization. https://arxiv.org/abs//2507.07996 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
Embed this episode
Ready to play
[QA] Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs
No transcript for this episode yet
Similar Episodes
No similar episodes found.